Alternatives and similar repositories for hyper

Users that are interested in hyper are comparing it to the libraries listed below

• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆104Updated last year
• MichaelTMatthews / Craftax_Baselines
  ☆18Updated 5 months ago
• 51616 / marl-lipo
  Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)
  ☆18Updated last year
• ahmed-touati / controllable_agent
  ☆48Updated 2 years ago
• RajGhugare19 / stitching-is-combinatorial-generalisation
  [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  ☆23Updated last year
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆55Updated 2 years ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆59Updated last year
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆116Updated 3 years ago
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆103Updated last year
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated last year
• dojeon-ai / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆72Updated 4 months ago
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆88Updated 2 years ago
• SonyResearch / simba
  ☆109Updated 8 months ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆57Updated last year
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆78Updated 2 years ago
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆49Updated 5 months ago
• nmonette / NCC-UED
  Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025
  ☆17Updated 2 months ago
• mklissa / dceo
  Learning diverse options through the Laplacian representation.
  ☆23Updated last year
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆149Updated 2 years ago
• jrobine / twm
  Transformer-based World Models
  ☆86Updated 2 years ago
• Div-Infinity / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆98Updated last month
• brownirl / lambda_discrepancy
  Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
  ☆20Updated last year
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆111Updated last year
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆56Updated last year
• AlexGoldie / rl-learned-optimization
  Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"
  ☆28Updated 6 months ago
• facebookresearch / MRQ
  MR.Q is a general-purpose model-free reinforcement learning algorithm.
  ☆117Updated 4 months ago
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆91Updated 10 months ago
• machado-research / AgarCL
  Agar.io for Continual Reinforcement Learning
  ☆22Updated 3 months ago
• UT-Austin-RPL / amago
  off-policy RL on long sequences
  ☆146Updated 2 months ago